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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +13 -1
src/streamlit_app.py
CHANGED
@@ -66,7 +66,7 @@ score_cols = [f"T{i}" for i in range(1, 12)] + ["Avg"]
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max_ranks = {col: df[f"{col}_rank"].max() for col in score_cols}
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# βββ Tabs ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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tab1, tab2 = st.tabs(["Leaderboard", "Benchmark Details"])
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with tab1:
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# st.markdown("**Leaderboard:** higher scores shaded green; best models bolded.")
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@@ -127,3 +127,15 @@ with tab2:
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""",
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unsafe_allow_html=True
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)
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max_ranks = {col: df[f"{col}_rank"].max() for col in score_cols}
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# βββ Tabs ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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tab1, tab2, tab3 = st.tabs(["πLeaderboard", "πBenchmark Details", "π€Submit Your Model"])
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with tab1:
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# st.markdown("**Leaderboard:** higher scores shaded green; best models bolded.")
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""",
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unsafe_allow_html=True
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)
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with tab3:
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st.markdown('## π€ Submit your model information ')
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st.write(
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"""
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We provide both public and private subsets of the dataset.
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We recommend starting with the public set for initial testing and development.
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You're welcome to submit your model for evaluation on the private set β just make sure to include your results on the public set.
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π You can submit your model through the following link: [https://forms.gle/mWa6joCfgQnwXsxeA](https://forms.gle/mWa6joCfgQnwXsxeA)
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"""
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)
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